The Social Graph Knows No Secrets

A scientific study into the implications of the social graph. It's not the information you “share”, it's the graph that reveals everything about you. Key quotes:

The increasing amount of personal information that can be gleaned by computer programs that track how people use Facebook has been revealed by an extensive academic study.

Such programs can discern undisclosed private information such as Facebook users' sexuality, drug-use habits and even whether their parents separated when they were young, according to the study by the University of Cambridge academics.

In one of the biggest studies of its kind, scientists from the university's psychometrics team and a Microsoft-funded research centre analyzed data from 58,000 Facebook users to predict traits and other information that were not provided in their profiles.

The algorithms were 88 per cent accurate in predicting male sexual orientation, 95 per cent for race and 80 per cent for religion and political leanings. Personality types and emotional stability were also predicted with accuracy ranging from 62-75 per cent.

Facebook declined to comment.

The study highlights growing concerns about social networks and how data trails can be mined for sensitive information, even when people attempt to keep information about themselves private.** Less than 5 per cent of users predicted to be gay, for example, were connected with explicitly gay groups.
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Michal Kosinksi, one of the report's authors, told the Financial Times that the university's techniques could easily be replicated by companies to infer personal attributes a person did not wish to share, such as sexual orientation or political views: "We used very simple and generic methods. Marketing companies and internet companies could spend much more time and resources, and hence get much higher accuracy than we did."